Information system operation intelligent control system

Abstract

The invention discloses an information system operation intelligent control system, and relates to the field of information operation management, and the system comprises an information operation intelligent management platform which is provided with an information collection module, an information monitoring and processing module, an information intelligent analysis module, an information intelligent scheduling module and an information intelligent management and control module; the information acquisition module is used for acquiring working data information and path operation state data; the information monitoring and processing module is used for acquiring real-time flow network state data and a corresponding real-time information flow network according to the acquired data; the information intelligent analysis module is used for judging whether the corresponding flow network nodes are abnormal or not, and performing abnormal marking according to a judgment result; the information intelligent scheduling module is used for processing abnormal flowing network nodes and generating information resource scheduling information; the information intelligent management and control module is used for managing and controlling the corresponding flow network nodes according to the information resource scheduling information; according to the invention, the accuracy of the information system in the control process is improved.

Description

Technical Field

[0001] The present invention relates to the field of information operation management, and specifically to an intelligent control system for information system operation. Background Art

[0002] With the rapid development of information technology, information systems are increasingly widely used in various fields. From the management and operation of enterprises to the data processing of scientific research institutions, from financial transactions to e-commerce platforms, information systems play a crucial role. Nowadays, the scale and complexity of information systems are constantly increasing, and their operating environments have become more and more diverse and dynamic. A distributed architecture enterprise information management system with the publication number of CN116542631B discloses a distributed architecture enterprise information management system, specifically related to the field of information management, including an enterprise area division module, an information data collection module, an information data preprocessing module, an information data processing module, an information data analysis module, an enterprise data evaluation module, an enterprise information unit warning module, an enterprise security database module, and an enterprise data visualization module. By dividing the target enterprise data information into a customer information division unit, an employee information division unit, and a market information division unit, collecting the specified information data of each monitoring sub-region within each unit area, further analyzing the processed data to obtain an enterprise data evaluation coefficient, and comparing it with the threshold of the preset enterprise data evaluation coefficient. If the data of a certain unit is abnormal, the enterprise information unit warning module is executed, and the processing measures are sent to the management personnel, thus effectively avoiding the risks that may occur in the process of manual data processing in the enterprise.

[0003] However, in the process of managing and controlling the information system within an enterprise, simply interacting and managing the information within the enterprise through a distributed architecture cannot accurately make real-time adjustments according to the needs and real-time operating states of each module, thereby reducing the operating efficiency of the information system to a certain extent. Moreover, not making adjustments to real-time information also affects the accuracy of information system control and adjustment to a certain extent. Therefore, how to improve the operating efficiency and accuracy of enterprise information systems is a problem that we need to solve. For this purpose, an intelligent control system for information system operation is provided herein. Summary of the Invention

[0004] In order to solve the above technical problems, the purpose of the present invention is to provide an intelligent control system for information system operation. The purpose of the present invention can be achieved through the following technical solutions: An intelligent control system for information system operation, including an intelligent information operation management platform, in which an information collection module, an information monitoring and processing module, an information intelligent analysis module, an information intelligent scheduling module, and an information intelligent control module are provided; The information collection module is used to collect the work data information and the corresponding path operation status data within the enterprise; The information monitoring and processing module is used to analyze and process according to the work data information and the path operation status data, obtain the real-time flow network status data, and obtain the real-time information flow network according to the real-time flow network status data; The information intelligent analysis module is used to analyze and process the information flow status within the enterprise according to the real-time flow network status data, judge whether there is an abnormality in the corresponding flow network node, and mark the flow network node with an abnormality; The information intelligent scheduling module is used to obtain the marked flow network nodes, perform intelligent scheduling of information resources on the work data information within the corresponding flow network nodes, and generate information resource scheduling information; The information intelligent control module is used to obtain the corresponding information resource scheduling information, control the corresponding flow network nodes according to the information resource scheduling information, and generate a real-time interactive flow network.

[0005] Furthermore, the information operation intelligent management platform obtains the enterprise operation management structure information of the corresponding enterprise, and the enterprise operation management structure information includes enterprise organizational structure information, enterprise personnel configuration information, and business process information; Set the enterprise management space of the corresponding enterprise according to the enterprise operation management structure information and construct an enterprise interactive flow network. A plurality of flow network nodes are set in the enterprise interactive flow network, and the flow network nodes are used to realize business interaction between various departments within the enterprise.

[0006] Furthermore, the process of the information collection module collecting the work data information and the path operation status data within the enterprise includes: Set a work information collection unit and a path information collection unit; The work information collection unit obtains each flow network node in the enterprise interactive flow network, obtains the corresponding work data information according to the flow network node. The work data information includes business process start and end information, business data information, and business operation information, and marks the collected work data information according to the time sequence collection frequency; The path information collection unit obtains the real-time interactive flow network, sets a distributed information collection scheme according to the operation status of each flow network node in the real-time interactive flow network. The distributed information collection scheme includes the time sequence collection frequency of each flow network node, and collects the path operation status data within the corresponding flow network node according to the time sequence collection frequency. The path operation status data includes bandwidth usage, node response time, memory occupancy rate, and data interaction process data.

[0007] Further, the process by which the information monitoring and processing module obtains real-time mobile network status data includes: Obtain the path operation status data obtained within the corresponding mobile network nodes, analyze and process the historical path operation status data obtained by each mobile network node, and respectively preset the normal operation index intervals for the corresponding type of path operation status data and the association model between different types of data; Compare and analyze the obtained corresponding type of path operation status data with the corresponding normal operation index intervals respectively. If it does not belong, mark the corresponding mobile network node; Input the path operation status data obtained within each mobile network node into the association model, and obtain the deployable resource configuration information within the corresponding mobile network node according to the analysis result of the association model; Mark the marking results and deployable resource configuration information obtained by each mobile network node as real-time mobile network status data.

[0008] Further, the process by which the information monitoring and processing module obtains the real-time information mobile network includes: Map the mobile network nodes to the enterprise interaction mobile network according to the marking results, visually display the marking results within the enterprise interaction mobile network, and generate a real-time information mobile network according to the visual display results; Set up an enterprise resource configuration table according to the deployable resource configuration information of each mobile network node within the real-time information mobile network, and associate the enterprise resource configuration with the corresponding real-time information mobile network.

[0009] Further, the process by which the information intelligent analysis module determines whether there is an abnormality in the corresponding mobile network node includes: Obtain the work data information within the mobile network node, match the start and end information of the business process within the work data information with other mobile network nodes within the real-time information mobile network, and obtain the corresponding resource utilization data according to the business data information of the work data information; Analyze and process the resource utilization data corresponding to the work data information and the corresponding deployable resource configuration information within the enterprise resource configuration table according to the matching results and the corresponding time series acquisition frequency, and obtain the predicted resource configuration information for the corresponding time series acquisition frequency; Set up time analysis axes according to the time series acquisition frequency respectively, correspond the deployable resource configuration information and the predicted resource configuration information of the corresponding mobile network node one by one according to the time analysis axes, and obtain the deviation data between the deployable resource configuration information and the predicted resource configuration information according to the corresponding results; Preset a deviation standard interval, compare the obtained deviation data with the deviation standard interval for comparative analysis, and judge whether there is an abnormality in the corresponding flow network node according to the comparative analysis result. If there is an abnormality, mark the corresponding flow network node in the real-time information flow network.

[0010] Furthermore, the process of the information intelligent scheduling module generating information resource scheduling information includes: Preset an intelligent monitoring period, obtain the real-time information flow network processed by marking within each unit time during the intelligent monitoring period, respectively conduct statistical analysis on the number of different types of marks of each flow network node within each unit time during the intelligent monitoring period, preset the weight coefficients of different types of mark results, and obtain the operation evaluation data of each flow network node according to the number of marks and the weight coefficients; Sort the operation evaluation data of the flow network nodes to obtain the scheduling priorities of each flow network node; Obtain the real-time information flow network at the current moment, exclude the flow network nodes marked as abnormal in the real-time information flow network at the current moment, and obtain the enterprise resource allocation table after exclusion; Analyze and process the work data information in the flow network nodes marked as abnormal, judge whether there is an abnormality in the corresponding work data information, match the work data information without abnormality according to the enterprise resource allocation table, and obtain a matching result that meets the requirements; Screen the matching results that meet the requirements according to the scheduling priority, and generate information resource scheduling information for the work data information in the corresponding flow network node.

[0011] Furthermore, the process of the information intelligent control module generating a real-time interactive flow network includes: Obtain the information resource scheduling information generated by the information intelligent scheduling module, perform automated network configuration adjustment according to the information resource scheduling information, obtain the interactive routing path of the corresponding work data information in each flow network node according to the adjustment result, and realize the control of each flow network node; Obtain the real-time interactive flow network at the corresponding moment according to the adjustment result.

[0012] Compared with the prior art, the beneficial effects of the present invention are: 1. By respectively analyzing and processing the work data information and path operation status data in different enterprises, it is judged whether the resource scheduling adjustment is required in the interaction process between each department in the corresponding enterprise, which improves the timeliness and accuracy of intelligent control in the operation process of the information system to a certain extent; 2. Set a distributed acquisition scheme according to the operating states of different flow network nodes in the obtained real-time interaction flow network, and collect the path operating state data in each flow network node according to the set distributed acquisition scheme. While improving the accuracy of the data analysis process of the information system operation intelligent control system, it also saves acquisition resources to a certain extent and improves the acquisition efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a schematic diagram of an intelligent control system for information system operation according to an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0014] As Figure 1 shown, an intelligent control system for information system operation includes an information operation intelligent management platform, and an information acquisition module, an information monitoring and processing module, an information intelligent analysis module, an information intelligent scheduling module, and an information intelligent control module are arranged in the information operation intelligent management platform.

[0015] The information operation intelligent management platform is used to obtain work data information, operation data information, etc. that need to be transmitted, stored, etc. in the corresponding enterprise, and analyze and process the work data information or operation data information during the operation process to avoid problems such as loss, disorder, and low efficiency of the work data information or operation data information, so as to ensure the normal operation of the relevant operation systems of the enterprise; Obtain enterprise operation management structure information, and the enterprise operation management structure information includes enterprise qualification certificate information, enterprise organizational structure information, enterprise personnel configuration information, business process information, and management system information; Carry out verification management on the obtained enterprise qualification certificate information, and judge whether the corresponding enterprise meets the permission to enter the information operation intelligent management platform according to the verification management. If the verification is passed, the corresponding enterprise account and enterprise key are granted to the corresponding enterprise. If the verification fails, the corresponding enterprise account is not granted to the corresponding enterprise; Relevant enterprise managers log in to the information operation intelligent management platform according to the enterprise account and enterprise password, set up an enterprise management space, and construct an enterprise interaction flow network in the enterprise management space according to the enterprise organizational structure information, enterprise personnel configuration information, business process information, and management system information; The enterprise interaction flow network includes a network control layer and a data interaction layer. The network control layer is used for each department to obtain corresponding work data information, and the data interaction layer is used for interactive transmission of the work data information obtained by the network control layer. The network control layer and the data interaction layer are connected to the corresponding flow network nodes according to the corresponding enterprise organizational structure information, and the flow network nodes correspond to each business department corresponding to the enterprise organizational structure information and business process information; Link each mobile network node according to the business process information and management system information, construct an enterprise interaction mobile network based on the link result, and store it in the enterprise management space corresponding to the enterprise account; It should be further noted that in the specific implementation process, the information operation intelligent management platform is used for the background management during the interaction process of work data information or operation data information in the data exchange process of corresponding enterprises or organizational departments in multiple enterprise management spaces, and there are mutual associations and intervals among the enterprise management spaces to ensure data information interaction under the condition of ensuring data security.

[0016] The information acquisition module acquires the initial information mobile network at the current moment, and acquires the work data information and corresponding path operation status data collected according to the initial information mobile network. The specific implementation process includes: Set a path information acquisition unit and a work information acquisition unit; The path information acquisition unit is used to be interconnected with the information intelligent control module to obtain the real-time interaction mobile network at the current moment obtained from the control results of the information intelligent control module for each mobile network node; Obtain the working status of different mobile network nodes in the real-time interaction mobile network at the current moment, and set a distributed information acquisition scheme according to the working status; The distributed information acquisition scheme sets the corresponding timing acquisition frequency according to the operation status of the corresponding mobile network node, and obtains the abnormality rate and historical operation status data of the corresponding mobile network sub-nodes in the corresponding mobile network node; Preset a mapping function, input the abnormality rate and historical operation status data of the corresponding mobile network sub-nodes in the obtained mobile network node into the mapping function for analysis and processing, and obtain the timing acquisition frequency of the corresponding mobile network node. The specific implementation process includes: , , where h is an intermediate variable, is the corresponding mapping function, , the abnormality rate is A, and the historical operation status data is , i = 1, 2,..., n, the timing acquisition frequency is T, is the weight matrix of the intermediate variable h, is the bias vector of the intermediate variable h, and x is the input vector, ; is the weight matrix of the final variable T, is the bias vector of the final variable T; Associate the obtained time-series acquisition frequency with the corresponding mobile network nodes, and collect the path operation status data within the corresponding mobile network nodes according to the association result. The path operation status data corresponds to the operation status data of each mobile network sub-node within the mobile network node; The operation status data includes system performance data, system operation status data, user behavior data, and network security data, where: The system performance data includes the bandwidth usage, node response time, and memory occupancy rate of the corresponding mobile network sub-node within the corresponding mobile network node under the unit time-series acquisition frequency; The system operation status data includes the process data of the corresponding mobile network sub-node within the corresponding mobile network node under the unit time-series acquisition frequency; The user behavior data includes user login data and user operation data; The network security data includes different types of network attack data and access control data; The work information acquisition unit obtains the enterprise interaction mobile network, and obtains the work data information within the corresponding mobile network node according to the enterprise interaction mobile network. The work data information includes the corresponding business process start and end information, business data information, and business operation information, where: The business process start and end information is the sending mobile network node and the receiving mobile network node corresponding to the work data information; The business data information is the work data information that needs to complete the interaction; The business operation information is the operation business personnel and operation data of the corresponding work data information; Send the obtained work data information to the information monitoring and processing module.

[0017] The information monitoring and processing module is used to analyze and process according to the work data information and the path operation status data, obtain the real-time mobile network status data, and obtain the real-time information mobile network according to the real-time mobile network status data. The specific implementation process includes: Obtain the path operation status data collected by the information acquisition module, the time-series acquisition frequency corresponding to the path operation status data, and the work data information; Compare and analyze the obtained corresponding type of path operation status data with the corresponding normal operation index interval respectively. If it does not belong, mark the corresponding mobile network node; Set up an enterprise resource configuration table. The enterprise resource configuration table contains the resource configuration information of each mobile network node within the enterprise interaction mobile network. The resource configuration information is the operation status data and the allowable maximum operation status data of each mobile network node at the corresponding moment; The corresponding cell in the enterprise resource allocation table represents the interactive resources of the flow network nodes with interactions within the flow network nodes represented by its row and column. Obtain the sum of the resource allocation information of the corresponding flow network nodes according to the resource allocation table; Obtain the historical path operation status data within the corresponding flow network nodes, generate a historical path operation data set within the corresponding flow network nodes based on the obtained historical path operation status data, analyze and train the historical path operation data set based on a deep learning algorithm, establish a corresponding association model, respectively obtain the association relationships between the process data, bandwidth usage, node response time, and memory occupancy rate of the corresponding flow network sub-nodes and the resource allocation information, and record them as regression coefficients respectively. Denote the process data, bandwidth usage, node response time, and memory occupancy rate of the corresponding flow network sub-nodes as , mark the resource allocation information within the corresponding flow network nodes in the enterprise resource allocation table as Y, and mark the adjustable resource allocation information as KY, Denote it as the value when all variables are zero; 、 、 Denote them as the regression coefficients of the independent variables respectively, is the random error term, where: ; Obtain the corresponding path operation status data within each flow network node, and obtain the adjustable resource allocation information within the corresponding flow network node according to the association model; Mark the marked results and adjustable resource allocation information obtained by each flow network node as real-time flow network status data; Map the flow network nodes according to their marked results into the enterprise interactive flow network, visually display the marked results within the enterprise interactive flow network, color-mark the flow network nodes with abnormal marks within the enterprise interactive flow network, and generate a real-time information flow network according to the visual display results; Correlate the enterprise resource allocation corresponding to the adjustable resource allocation information of each flow network node in the real-time information flow network with the corresponding real-time information flow network.

[0018] The information intelligent analysis module is used to obtain the corresponding real-time flow network status data of the real-time information flow network, analyze and process the real-time flow network status data, judge whether there are abnormalities in the corresponding flow network nodes, and mark the flow network nodes with abnormalities. Its specific implementation process includes: A status analysis unit and a data analysis unit are set within the information intelligent analysis module; The state analysis unit is used to obtain the corresponding real-time information flow network, analyze the state of the corresponding flow network nodes according to the real-time information flow network, and judge whether there is any abnormality in the flow network nodes; Obtain the working data information in the flow network nodes, match the start and end information of the business process in the working data information with other flow network nodes in the real-time information flow network, and obtain the corresponding resource utilization data according to the business data information of the working data information; Analyze and process the corresponding real-time information flow network according to the timing acquisition frequency; Set a time analysis axis according to the timing acquisition frequency, and mark the real-time information flow data and predicted resource allocation information in each flow network node in the real-time information flow network at the corresponding positions on the time analysis axis; There is a lag between the timing acquisition frequencies of the real-time information flow data and the predicted resource allocation information. Obtain the corresponding lag coefficient based on the historical path operation data set, and correspond the real-time information flow data and the predicted resource allocation information in the corresponding flow network nodes one by one according to the corresponding lag coefficient for the marked results on the two time analysis axes; Compare and analyze the predicted resource allocation information with the real-time information flow data within the corresponding time acquisition frequency on the time analysis axis to obtain the deviation data between the predicted resource allocation information and the real-time information flow data; Analyze and process the obtained deviation data, judge whether there is any abnormality in the corresponding flow network node, and preset a deviation standard interval; If the deviation data belongs to the deviation standard interval, the real-time information flow data corresponding to the flow network node is normal; If the deviation data does not belong to the deviation standard interval, the real-time information flow data corresponding to the flow network node is abnormal, and the abnormal real-time information flow data is sent to the data analysis unit; The data analysis unit is used to obtain the abnormal flow network nodes and analyze and process the working data information in the abnormal flow network nodes; Obtain the working data information of the corresponding flow network sub-nodes, obtain the business data information and business operation information in the working data information, and judge whether the corresponding working data information is abnormal according to the business data information and business operation information; Obtain the user account information of the relevant staff in the enterprise, obtain the corresponding historical business operation information, analyze and process the obtained historical business operation information based on the deep learning algorithm, and construct a user behavior analysis model; Input the obtained business operation data into the user behavior analysis model, output the analysis result of the corresponding business operation data, and mark it if the business operation data is abnormal, otherwise, do not mark it; Retrieve the dangerous database stored in the intelligent management platform for information. Compare and analyze the business data information in the work data information with the dangerous database. Based on the hash algorithm, obtain the hash values of each business data information and the pre-stored information in the dangerous database, and determine whether the corresponding business data information is abnormal according to the obtained hash values; If there are abnormalities in both the business operation data and the business data information corresponding to the work data information in the process network sub-node, mark the corresponding process network sub-node as severely abnormal; If there is one abnormality in either the business operation data or the business data information corresponding to the work data information in the process network sub-node, mark the corresponding process network sub-node as generally abnormal; If there are no abnormalities in both the business operation data and the business data information corresponding to the work data information in the process network sub-node, mark the work data information as normal.

[0019] The information intelligent scheduling module is used to retrieve the marked mobile network nodes, perform intelligent scheduling of information resources for the corresponding mobile network nodes, and generate information resource scheduling information. The specific implementation process includes: Preset an intelligent monitoring period, retrieve the real-time information flow network processed by marking within each unit time during the intelligent monitoring period, respectively perform statistical analysis on the number of different types of marks of each mobile network node within the unit time during the intelligent monitoring period, preset the weight coefficients of different types of marking results, and obtain the operation evaluation data of each mobile network node according to the number of marks and the weight coefficients; Sort the operation evaluation data of the mobile network nodes to obtain the scheduling priorities of each mobile network node; Retrieve the real-time information flow network at the current moment, exclude the mobile network nodes marked as abnormal in the real-time information flow network at the current moment, and obtain the enterprise resource allocation table after exclusion; Retrieve the analysis results of the work data information in the information intelligent analysis module, match the work data information without abnormalities according to the enterprise resource allocation table, and obtain the matching results that meet the requirements; Process the work data information with general and severe abnormal analysis results in the information intelligent analysis module: Isolate the work data information with severe abnormalities; Perform secondary analysis on the work data information with general abnormalities. If the results are still the same, rework the corresponding work data information. If the results are different, process according to the analysis results; Screen the matching results that meet the requirements according to the scheduling priority, and generate information resource scheduling information for the work data information in the corresponding mobile network nodes.

[0020] The information intelligent management and control module is used to obtain the corresponding information resource scheduling information, analyze and process the corresponding information operation and flow network according to the information resource scheduling information, and manage and control the corresponding flow network nodes. The specific implementation process includes: Obtain the information resource scheduling information generated by the information intelligent scheduling module, automatically adjust the network configuration of the corresponding data interaction layer according to the information resource scheduling information, and obtain the interaction routing path of the corresponding working data information in each flow network node according to the adjustment result, so as to realize the management and control of each flow network node; Obtain the real-time interaction flow network at the corresponding moment according to the adjustment result, and store the corresponding real-time interaction flow network.

[0021] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent control system for information system operation, including an intelligent management platform for information operation, characterized in that An information operation intelligent management platform is provided with an information collection module, an information monitoring and processing module, an information intelligent analysis module, an information intelligent scheduling module, and an information intelligent control module; The information collection module is used to collect the work data information within the enterprise and the corresponding path operation status data; The information monitoring and processing module is used to analyze and process based on the work data information and the path operation status data to obtain the real-time flow network status data, and obtain the real-time information flow network according to the real-time flow network status data; The information intelligent analysis module is used to analyze and process the information flow status within the enterprise according to the real-time flow network status data, determine whether there are abnormalities in the corresponding flow network nodes, and mark the flow network nodes with abnormalities; The information intelligent scheduling module is used to obtain the marked flow network nodes, perform intelligent scheduling of information resources on the work data information within the corresponding flow network nodes, and generate information resource scheduling information; The information intelligent control module is used to obtain the corresponding information resource scheduling information, control the corresponding flow network nodes according to the information resource scheduling information, and generate a real-time interactive flow network; 2. An intelligent control system for the operation of an information system according to claim 1, characterized in that, The information operation intelligent management platform obtains the enterprise operation management structure information of the corresponding enterprise, and the enterprise operation management structure information includes enterprise organizational structure information, enterprise personnel allocation information, and business process information; According to the enterprise operation management structure information, set the enterprise management space of the corresponding enterprise and construct an enterprise interactive flow network. A plurality of flow network nodes are set in the enterprise interactive flow network, and the flow network nodes are used to realize the business interaction between various departments within the enterprise; 3. An intelligent control system for the operation of an information system according to claim 2, characterized in that, The process of the information collection module collecting the work data information and the path operation status data within the enterprise includes: Set a work information collection unit and a path information collection unit; The work information collection unit obtains each flow network node within the enterprise interactive flow network, obtains the corresponding work data information according to the flow network node. The work data information includes the start and end information of the business process, business data information, and business operation information, and marks the collected work data information according to the time sequence collection frequency; The path information collection unit obtains the real-time interactive flow network, sets a distributed information collection scheme according to the operation status of each flow network node within the real-time interactive flow network. The distributed information collection scheme includes the time sequence collection frequency of each flow network node, and collects the path operation status data within the corresponding flow network node according to the time sequence collection frequency. The path operation status data includes bandwidth usage, node response time, memory occupancy rate, and data interaction process data; 4. An intelligent control system for information system operation according to claim 3, characterized in that, The process of the information monitoring and processing module obtaining the real-time flow network status data includes: Obtain the path operation status data obtained within the corresponding flow network node, analyze and process according to the historical path operation status data obtained by each flow network node, and respectively preset the normal operation index interval of the corresponding type of path operation status data and the association model between different types of data; Compare and analyze the obtained path operation status data of the corresponding type with the corresponding normal operation index ranges respectively. If it does not belong, mark the corresponding flow network nodes. Input the path operation status data obtained within each flow network node into the association model, and obtain the deployable resource configuration information within the corresponding flow network node according to the analysis results of the association model. Mark the obtained marking results and deployable resource configuration information of each flow network node as real-time flow network status data.

5. An intelligent control system for the operation of an information system according to claim 4, characterized in that, The process by which the information monitoring and processing module obtains the real-time information flow network includes: Map the flow network nodes according to their marking results into the enterprise interaction flow network, and visually display the marking results within the enterprise interaction flow network. Generate a real-time information flow network according to the visual display results. Set up an enterprise resource configuration table according to the deployable resource configuration information of each flow network node within the real-time information flow network, and correlate the enterprise resource configuration with the corresponding real-time information flow network.

6. An intelligent control system for information system operation according to claim 5, characterized in that, The process by which the information intelligent analysis module determines whether there are abnormalities in the corresponding flow network nodes includes: Obtain the work data information within the flow network node, match the start and end information of the business process within the work data information with other flow network nodes within the real-time information flow network, and obtain the corresponding resource utilization data according to the business data information of the work data information. Analyze and process the resource utilization data corresponding to the work data information and the corresponding deployable resource configuration information within the enterprise resource configuration table according to the matching results and the corresponding time series acquisition frequency, and obtain the predicted resource configuration information corresponding to the time series acquisition frequency. Set up time analysis axes according to the time series acquisition frequency respectively, correspond the deployable resource configuration information and the predicted resource configuration information of the corresponding flow network nodes one by one according to the time analysis axes, and obtain the deviation data between the deployable resource configuration information and the predicted resource configuration information according to the corresponding results. Preset a deviation standard range, compare and analyze the obtained deviation data with the deviation standard range, and determine whether there are abnormalities in the corresponding flow network nodes according to the comparison and analysis results. If there are abnormalities, mark the corresponding flow network nodes within the real-time information flow network.

7. An intelligent control system for information system operation according to claim 6, characterized in that, The process by which the information intelligent scheduling module generates information resource scheduling information includes: Preset an intelligent monitoring period, obtain the real-time information flow network that has been marked and processed within each unit time during the intelligent monitoring period, statistically analyze the number of different types of markings of each flow network node within each unit time during the intelligent monitoring period, preset the weight coefficients of different types of marking results, and obtain the operation evaluation data of each flow network node according to the number of markings and the weight coefficients. Sort the operation evaluation data of the flow network nodes to obtain the scheduling priorities of each flow network node. Obtain the real-time information flow network at the current moment, eliminate the flow network nodes marked as abnormal in the real-time information flow network at the current moment, and obtain the enterprise resource configuration table after elimination. Analyze and process the working data information in the mobile network nodes marked as abnormal, determine whether the corresponding working data information is abnormal, match the working data information without abnormality according to the enterprise resource allocation table, and obtain the matching results that meet the requirements; Screen the matching results that meet the requirements according to the scheduling priority, and generate information resource scheduling information for the working data information in the corresponding mobile network nodes.

8. An intelligent control system for information system operation according to claim 7, characterized in that, The process of the information intelligent control module generating a real-time interactive mobile network includes: Obtain the information resource scheduling information generated by the information intelligent scheduling module, perform automated network configuration adjustment according to the information resource scheduling information, obtain the interactive routing paths of the corresponding working data information in each mobile network node according to the adjustment results, and realize the control of each mobile network node; obtain the real-time interactive mobile network at the corresponding moment according to the adjustment results.

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